High-Precision, Kinematic Positioning with a Single GPS Receiver
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT: The goal of the research described in this paper is the design of a GPS data processing technique capable of producing high-precision positioning results, regardless of platform dynamics, utilizing only a single, high-quality receiver. This goal is accomplished by combining two processing philosophies: point positioning, which makes use of precise GPS constellation ephemeris and clock offset information to estimate a single receiver's state; and carrier-phase–filtered pseudorange processing, in which pseudorange-based positioning is supplemented with carrier-based position-change information. Results derived with the developed software indicate that near-decimeter-level positioning accuracy is attainable for a variety of platforms, ranging from static, terrestrial reference stations, to aircraft, to satellites. A number of modeling improvements can be applied to the existing software, and testing in the real-time environment is planned.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it